Posts with Tag: vector_embeddings

Beyond Standard RAG: Fixing the 'Lost Context' Problem with Advanced Retrieval Techniques

Is your RAG agent struggling with accuracy or making things up? The culprit might be the 'lost context problem,' where chunking separates vital information from its original meaning. This article dives into why standard RAG falls short and introduces two powerful techniques—Late Chunking and Context...…
in AI, LLMs, N8N, RAG

Beyond Text: Building Multimodal RAG Systems for Images and Tables

Is your RAG system struggling with the rich visual information locked in images and tables within your documents? Traditional text-only approaches often lose crucial context. This article dives into the world of multimodal RAG, showing you how to build systems that can directly understand and retrie...…
in AI, LLMs, RAG, Multimodal